FLORA software: semi-automatic LGE-CMR analysis tool for cardiac lesions identification and characterization.
Cardiac radiology
Ischemic cardiomyopathies
Late gadolinium enhancement (LGE)
Magnetic resonance imaging (MRI)
Non-ischemic cardiomyopathies
Quantification software
Journal
La Radiologia medica
ISSN: 1826-6983
Titre abrégé: Radiol Med
Pays: Italy
ID NLM: 0177625
Informations de publication
Date de publication:
Jun 2022
Jun 2022
Historique:
received:
28
02
2022
accepted:
23
03
2022
pubmed:
19
4
2022
medline:
27
5
2022
entrez:
18
4
2022
Statut:
ppublish
Résumé
Today there is a growing interest in the quantification of late gadolinium enhancement (LGE) in ischemic and non-ischemic cardiac pathologies. We build an automatic self-made free software FLORA (For Late gadOlinium enhanced aReas clAssification) for the recognition, classification and quantification of LGE areas that allows to improve the observer's performances and that homogenizes the evaluations between different operators. We have retrospectively selected 120 CMR exams: 40-ischemic with evident scar tissue on LGE sequences; 40-non-ischemic cardiomyopathy; 40-any myocardial alteration on CMR, especially on LGE sequences. FLORA's performance was compared to the radiologist's evaluation. FLORA identified both ischemic and non-ischemic myocardial lesions in almost all cases (80/80 and 79/80 for the double-Gaussian fit method and fixed-shift method, respectively, with sensitivity and specificity of 100%/98.8% and 55%/50%, respectively). The best results were obtained from the classification of ischemic myocardial damage, which was correctly identified in 85%-95% of cases. FLORA also increases the agreement between observers and allows a quantitative evaluation of transmurality. FLORA has proven to be an applicable tool that improves and facilitates the classification of LGE areas allowing their quantification.
Identifiants
pubmed: 35435606
doi: 10.1007/s11547-022-01491-8
pii: 10.1007/s11547-022-01491-8
doi:
Substances chimiques
Contrast Media
0
Gadolinium
AU0V1LM3JT
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
589-601Informations de copyright
© 2022. Italian Society of Medical Radiology.
Références
Moon JC, Reed E, Sheppard MN, Elkington AG, Ho SY, Burke M, Petrou M, Pennell DJ (2004) The histologic basis of late gadolinium enhancement cardiovascular magnetic resonance in hypertrophic cardiomyopathy. J Am Coll Cardiol 43(12):2260–2264. https://doi.org/10.1016/j.jacc.2004.03.035
doi: 10.1016/j.jacc.2004.03.035
pubmed: 15193690
Kim RJ, Fieno DS, Parrish TB, Harris K, Chen EL, Simonetti O, Bundy J, Finn JP, Klocke FJ, Judd RM (1999) Relationship of MRI delayed contrast enhancement to irreversible injury, infarct age, and contractile function. Circulation 100(19):1992–2002. https://doi.org/10.1161/01.cir.100.19.1992
doi: 10.1161/01.cir.100.19.1992
pubmed: 10556226
Pradella S, Grazzini G, De Amicis C, Letteriello M, Acquafresca M, Miele V (2020) Cardiac magnetic resonance in hypertrophic and dilated cardiomyopathies. Radiol Med 125(11):1056–1071. https://doi.org/10.1007/s11547-020-01276-x
doi: 10.1007/s11547-020-01276-x
pubmed: 32946001
Becker M, Cornel JH, van de Ven PM, van Rossum AC, Allaart CP, Germans T (2018) The prognostic value of late gadolinium-enhanced cardiac magnetic resonance imaging in nonischemic dilated cardiomyopathy: a review and meta-analysis. JACC JACC Cardiovasc Imaging 11(9):1274–1284. https://doi.org/10.1016/j.jcmg.2018.03.006
doi: 10.1016/j.jcmg.2018.03.006
pubmed: 29680351
Esposito A, Gallone G, Palmisano A, Marchitelli L, Catapano F, Francone M (2020) The current landscape of imaging recommendations in cardiovascular clinical guidelines: toward an imaging-guided precision medicine. Radiol Med 125(11):1013–1023. https://doi.org/10.1007/s11547-020-01286-9
doi: 10.1007/s11547-020-01286-9
pubmed: 32964326
pmcid: 7593299
Hunold P, Schlosser T, Vogt FM, Eggebrecht H, Schmermund A, Bruder O, Schüler WO, Barkhausen J (2005) Myocardial late enhancement in contrast-enhanced cardiac MRI: distinction between infarction scar and non-infarction-related disease. Am J Roentgenol 184(5):1420–1426. https://doi.org/10.2214/ajr.184.5.01841420
doi: 10.2214/ajr.184.5.01841420
Holtackers RJ, Van De Heyning CM, Nazir MS, Rashid I, Ntalas I, Rahman H, Botnar RM, Chiribiri A (2019) Clinical value of dark-blood late gadolinium enhancement cardiovascular magnetic resonance without additional magnetization preparation. J Cardiovasc Magn Reson 21(1):44. https://doi.org/10.1186/s12968-019-0556-1
doi: 10.1186/s12968-019-0556-1
pubmed: 31352900
pmcid: 6661833
Assomull RG, Prasad SK, Lyne J, Smith G, Burman ED, Khan M, Sheppard MN, Poole-Wilson PA, Pennell DJ (2006) Cardiovascular magnetic resonance, fibrosis, and prognosis in dilated cardiomyopathy. J Am Coll Cardiol 48(10):1977–1985. https://doi.org/10.1016/j.jacc.2006.07.049
doi: 10.1016/j.jacc.2006.07.049
pubmed: 17112987
Anand S, Janardhanan R (2016) Role of cardiac MRI in nonischemic cardiomyopathies. Indian Heart J 68(3):405–409. https://doi.org/10.1016/j.ihj.2015.09.032
doi: 10.1016/j.ihj.2015.09.032
pubmed: 27316506
pmcid: 4912037
Lee E, Ibrahim EH, Parwani P, Bhave N, Stojanovska J (2020) Practical guide to evaluating myocardial disease by cardiac MRI. AJR Am J Roentgenol 214(3):546–556. https://doi.org/10.2214/AJR.19.22076
doi: 10.2214/AJR.19.22076
pubmed: 31967503
Gräni C, Eichhorn C, Bière L, Kaneko K, Murthy VL, Agarwal V, Aghayev A, Steigner M, Blankstein R, Jerosch-Herold M, Kwong RY (2019) Comparison of myocardial fibrosis quantification methods by cardiovascular magnetic resonance imaging for risk stratification of patients with suspected myocarditis. J Cardiovasc Magn Reson 21(1):14. https://doi.org/10.1186/s12968-019-0520-0
doi: 10.1186/s12968-019-0520-0
pubmed: 30813942
pmcid: 6393997
Pierpaolo P, Rolf S, Manuel BP, Davide C, Dresselaers T, Claus P, Bogaert J (2020) Left ventricular global myocardial strain assessment: Are CMR feature-tracking algorithms useful in the clinical setting? Radiol Med 125(5):444–450. https://doi.org/10.1007/s11547-020-01159-1
doi: 10.1007/s11547-020-01159-1
pubmed: 32125636
Minegishi S, Kato S, Takase-Minegishi K, Horita N, Azushima K, Wakui H, Ishigami T, Kosuge M, Kimura K, Tamura K (2019) Native T1 time and extracellular volume fraction in differentiation of normal myocardium from non-ischemic dilated and hypertrophic cardiomyopathy myocardium: a systematic review and meta-analysis. IJC Hear Vasc 25:100422. https://doi.org/10.1016/j.ijcha.2019.100422
doi: 10.1016/j.ijcha.2019.100422
Arnold JR, McCann GP (2020) Cardiovascular magnetic resonance: applications and practical considerations for the general cardiologist. Heart 106(3):174–181. https://doi.org/10.1136/heartjnl-2019-314856
doi: 10.1136/heartjnl-2019-314856
pubmed: 31826937
Schiau C, Schiau Ş, Dudea SM, Manole S (2019) Cardiovascular magnetic resonance: contribution to the exploration of cardiomyopathies. Med Pharm Rep 92(4):326–336. https://doi.org/10.15386/mpr-1343
doi: 10.15386/mpr-1343
pubmed: 31750431
pmcid: 6853046
Russo V, Lovato L, Ligabue G (2020) Cardiac MRI: technical basis. Radiol Med 125(11):1040–1055. https://doi.org/10.1007/s11547-020-01282-z
doi: 10.1007/s11547-020-01282-z
pubmed: 32939626
Neumann FJ, Sousa-Uva M, Ahlsson A, Alfonso F, Banning AP, Benedetto U, Byrne RA, Collet JP, Falk V, Head SJ, Jüni P, Kastrati A, Koller A, Kristensen SD, Niebauer J, Richter DJ, Seferovic PM, Sibbing D, Stefanini GG, Windecker S et al (2019) 2018 ESC/EACTS Guidelines on myocardial revascularization. Eur Heart J 40(2):87–165. https://doi.org/10.1093/eurheartj/ehy394
doi: 10.1093/eurheartj/ehy394
pubmed: 30165437
Rodriguez-Granillo GA, Nieman K, Carrascosa P, Campisi R, Ambrose JA (2020) Anatomic or functional testing in stable patients with suspected CAD: contemporary role of cardiac CT in the ISCHEMIA trial era. Int J Cardiovasc Imaging 36(7):1351–1362. https://doi.org/10.1007/s10554-020-01815-7
doi: 10.1007/s10554-020-01815-7
pubmed: 32180079
Guedeney P, Collet JP (2020) Diagnosis and management of acute coronary syndrome: what is new and why? Insight from the 2020 European society of cardiology guidelines. J Clin Med 9(11):3474. https://doi.org/10.3390/jcm9113474
doi: 10.3390/jcm9113474
pmcid: 7692678
Buffa V, Di Renzi P (2020) CMR in the diagnosis of ischemic heart disease. Radiol Med 125(11):1114–1123. https://doi.org/10.1007/s11547-020-01278-9
doi: 10.1007/s11547-020-01278-9
pubmed: 32936388
Tarantini G, Cacciavillani L, Corbetti F, Ramondo A, Marra MP, Bacchiega E, Napodano M, Bilato C, Razzolini R, Iliceto S (2005) Duration of ischemia is a major determinant of transmurality and severe microvascular obstruction after primary angioplasty: a study performed with contrast-enhanced magnetic resonance. J Am Coll Cardiol 46(7):1229–1235. https://doi.org/10.1016/j.jacc.2005.06.054
doi: 10.1016/j.jacc.2005.06.054
pubmed: 16198836
Palmisano A, Vignale D, Benedetti G, Del Maschio A, De Cobelli F, Esposito A (2020) Late iodine enhancement cardiac computed tomography for detection of myocardial scars: impact of experience in the clinical practice. Radiol Med 125(2):128–136. https://doi.org/10.1007/s11547-019-01108-7
doi: 10.1007/s11547-019-01108-7
pubmed: 31784926
Fahmy AS, Neisius U, Tsao CW, Berg S, Goddu E, Pierce P, Basha TA, Ngo L, Manning WJ, Nezafat R (2018) Gray blood late gadolinium enhancement cardiovascular magnetic resonance for improved detection of myocardial scar. J Cardiovasc Magn Reson 20(1):22. https://doi.org/10.1186/s12968-018-0442-2
doi: 10.1186/s12968-018-0442-2
pubmed: 29562921
pmcid: 5863465
Jimenez Juan L, Crean AM, Wintersperger BJ (2015) Late gadolinium enhancement imaging in assessment of myocardial viability: techniques and clinical applications. Radiol Clin North Am 53(2):397–411. https://doi.org/10.1016/j.rcl.2014.11.004
doi: 10.1016/j.rcl.2014.11.004
pubmed: 25727002
Hausenloy DJ, Yellon DM (2013) Myocardial ischemia-reperfusion injury: a neglected therapeutic target. J Clin Investig 123(1):92–100. https://doi.org/10.1172/JCI62874
doi: 10.1172/JCI62874
pubmed: 23281415
pmcid: 3533275
Pontone G, Di Cesare E, Castelletti S, De Cobelli F, De Lazzari M, Esposito A, Focardi M, Di Renzi P, Indolfi C, Lanzillo C, Lovato L, Maestrini V, Mercuro G, Natale L, Mantini C, Polizzi A, Rabbat M, Secchi F, Secinaro A, Aquaro GD, Francone M (2021) Appropriate use criteria for cardiovascular magnetic resonance imaging (CMR): SIC-SIRM position paper part 1 (ischemic and congenital heart diseases, cardio-oncology, cardiac masses and heart transplant). Radiol Med 126(3):365–379. https://doi.org/10.1007/s11547-020-01332-6
doi: 10.1007/s11547-020-01332-6
pubmed: 33629237
pmcid: 7937599
Pradella S, Zantonelli G, Grazzini G, Cozzi D, Danti G, Acquafresca M, Miele V (2021) The radiologist as a gatekeeper in chest pain. Int J Environ Res Public Health 18(12):6677. https://doi.org/10.3390/ijerph18126677
doi: 10.3390/ijerph18126677
pubmed: 34205792
pmcid: 8296491
Centonze M, Steidler S, Casagranda G, Alfonsi U, Spagnolli F, Rozzanigo U, Palumbo D, Faletti R, De Cobelli F (2020) Cardiac-CT and cardiac-MR cost-effectiveness: a literature review. Radiol Med 125(11):1200–1207. https://doi.org/10.1007/s11547-020-01290-z
doi: 10.1007/s11547-020-01290-z
pubmed: 32970273
Satoh H, Sano M, Suwa K, Saitoh T, Nobuhara M, Saotome M, Urushida T, Katoh H, Hayashi H (2014) Distribution of late gadolinium enhancement in various types of cardiomyopathies: significance in differential diagnosis, clinical features and prognosis. World J Cardiol 6(7):585–601. https://doi.org/10.4330/wjc.v6.i7.585
doi: 10.4330/wjc.v6.i7.585
pubmed: 25068019
pmcid: 4110607
Patel AR, Kramer CM (2017) Role of cardiac magnetic resonance in the diagnosis and prognosis of nonischemic cardiomyopathy. JACC Cardiovasc Imaging 10(10 Pt A):1180–1193. https://doi.org/10.1016/j.jcmg.2017.08.005
doi: 10.1016/j.jcmg.2017.08.005
pubmed: 28982571
pmcid: 5708889
Galea N, Polizzi G, Gatti M, Cundari G, Figuera M, Faletti R (2020) Cardiovascular magnetic resonance (CMR) in restrictive cardiomyopathies. Radiol Med 125(11):1072–1086. https://doi.org/10.1007/s11547-020-01287-8
doi: 10.1007/s11547-020-01287-8
pubmed: 32970272
pmcid: 7593297
Palumbo P, Cannizzaro E, Di Cesare A, Bruno F, Schicchi N, Giovagnoni A, Splendiani A, Barile A, Masciocchi C, Di Cesare E (2020) Cardiac magnetic resonance in arrhythmogenic cardiomyopathies. Radiol Med 125(11):1087–1101. https://doi.org/10.1007/s11547-020-01289-6
doi: 10.1007/s11547-020-01289-6
pubmed: 32978708
Palmisano A, Darvizeh F, Cundari G, Rovere G, Ferrandino G, Nicoletti V, Cilia F, De Vizio S, Palumbo R, Esposito A, Francone M (2021) Advanced cardiac imaging in athlete’s heart: unravelling the grey zone between physiologic adaptation and pathology. Radiol Med 126(12):1518–1531. https://doi.org/10.1007/s11547-021-01411-2
doi: 10.1007/s11547-021-01411-2
pubmed: 34420142
pmcid: 8380417
Aquaro GD, Perfetti M, Camastra G, Monti L, Dellegrottaglie S, Moro C, Pepe A, Todiere G, Lanzillo C, Scatteia A, Di Roma M, Pontone G, Perazzolo Marra M, Barison A, Di Bella G, Cardiac Magnetic Resonance Working Group of the Italian Society of Cardiology (2017) Cardiac MR with late gadolinium enhancement in acute myocarditis with preserved systolic function: ITAMY study. J Am Coll Cardiol 70(16):1977–1987. https://doi.org/10.1016/j.jacc.2017.08.044
doi: 10.1016/j.jacc.2017.08.044
pubmed: 29025554
Doltra A, Amundsen BH, Gebker R, Fleck E, Kelle S (2013) Emerging concepts for myocardial late gadolinium enhancement MRI. Curr Cardiol Rev 9(3):185–190. https://doi.org/10.2174/1573403x113099990030
doi: 10.2174/1573403x113099990030
pubmed: 23909638
pmcid: 3780343
Luetkens JA, Homsi R, Sprinkart AM, Doerner J, Dabir D, Kuetting DL, Block W, Andrié R, Stehning C, Fimmers R, Gieseke J, Thomas DK, Schild HH, Naehle CP (2016) Incremental value of quantitative CMR including parametric mapping for the diagnosis of acute myocarditis. Eur Heart J Cardiovasc Imaging 17(2):154–161. https://doi.org/10.1093/ehjci/jev246
doi: 10.1093/ehjci/jev246
pubmed: 26476398
Amano Y, Tachi M, Tani H, Mizuno K, Kobayashi Y, Kumita S (2012) T2-weighted cardiac magnetic resonance imaging of edema in myocardial diseases. Sci World J 2012:194069. https://doi.org/10.1100/2012/194069
doi: 10.1100/2012/194069
Ferreira VM, Schulz-Menger J, Holmvang G, Kramer CM, Carbone I, Sechtem U, Kindermann I, Gutberlet M, Cooper LT, Liu P, Friedrich MG (2018) Cardiovascular magnetic resonance in nonischemic myocardial inflammation: expert recommendations. J Am Coll Cardiol 72(24):3158–3176. https://doi.org/10.1016/j.jacc.2018.09.072
doi: 10.1016/j.jacc.2018.09.072
pubmed: 30545455
Mahrholdt H, Goedecke C, Wagner A, Meinhardt G, Athanasiadis A, Vogelsberg H, Fritz P, Klingel K, Kandolf R, Sechtem U (2004) Cardiovascular magnetic resonance assessment of human myocarditis: a comparison to histology and molecular pathology. Circulation 109(10):1250–1258. https://doi.org/10.1161/01.CIR.0000118493.13323.81
doi: 10.1161/01.CIR.0000118493.13323.81
pubmed: 14993139
Liguori C, Farina D, Vaccher F, Ferrandino G, Bellini D, Carbone I (2020) Myocarditis: imaging up to date. Radiol Med 125(11):1124–1134. https://doi.org/10.1007/s11547-020-01279-8
doi: 10.1007/s11547-020-01279-8
pubmed: 33025305
pmcid: 7538190
Merlo M, Cannatà A, Gobbo M, Stolfo D, Elliott PM, Sinagra G (2018) Evolving concepts in dilated cardiomyopathy. Eur J Heart Fail 20(2):228–239. https://doi.org/10.1002/ejhf.1103
doi: 10.1002/ejhf.1103
pubmed: 29271570
van Assen M, Muscogiuri G, Caruso D, Lee SJ, Laghi A, De Cecco CN (2020) Artificial intelligence in cardiac radiology. Radiol Med 125(11):1186–1199. https://doi.org/10.1007/s11547-020-01277-w
doi: 10.1007/s11547-020-01277-w
pubmed: 32946002
Alexandre J, Saloux E, Dugué AE, Lebon A, Lemaitre A, Roule V, Labombarda F, Provost N, Gomes S, Scanu P, Milliez P (2013) Scar extent evaluated by late gadolinium enhancement CMR: a powerful predictor of long term appropriate ICD therapy in patients with coronary artery disease. J Cardiovasc Magn Reson 15(1):12. https://doi.org/10.1186/1532-429X-15-12
doi: 10.1186/1532-429X-15-12
pubmed: 23331500
pmcid: 3610203
Roes SD, Kelle S, Kaandorp TA, Kokocinski T, Poldermans D, Lamb HJ, Boersma E, van der Wall EE, Fleck E, de Roos A, Nagel E, Bax JJ (2007) Comparison of myocardial infarct size assessed with contrast-enhanced magnetic resonance imaging and left ventricular function and volumes to predict mortality in patients with healed myocardial infarction. Am J Cardiol 100(6):930–936. https://doi.org/10.1016/j.amjcard.2007.04.029
doi: 10.1016/j.amjcard.2007.04.029
pubmed: 17826372
Zhang LJ, Dong W, Li JN, Mi HZ, Jiao J, Dou RY, An J, Liu JL, He Y, Song XT (2020) Quantification of late gadolinium enhancement cardiovascular MRI in patients with coronary artery chronic total occlusion. Clin Radiol 75(8):643.e6.43000000006.43E28. https://doi.org/10.1016/j.crad.2020.03.032
doi: 10.1016/j.crad.2020.03.032
Acosta J, Fernández-Armenta J, Borràs R, Anguera I, Bisbal F, Martí-Almor J, Tolosana JM, Penela D, Andreu D, Soto-Iglesias D, Evertz R, Matiello M, Alonso C, Villuendas R, de Caralt TM, Perea RJ, Ortiz JT, Bosch X, Serra L, Planes X, Berruezo A (2018) Scar characterization to predict life-threatening arrhythmic events and sudden cardiac death in patients with cardiac resynchronization therapy: the GAUDI-CRT study. JACC Cardiovasc Imaging 11(4):561–572. https://doi.org/10.1016/j.jcmg.2017.04.021
doi: 10.1016/j.jcmg.2017.04.021
pubmed: 28780194
Bondarenko O, Beek AM, Hofman MB, Kühl HP, Twisk JW, van Dockum WG, Visser CA, van Rossum AC (2005) Standardizing the definition of hyperenhancement in the quantitative assessment of infarct size and myocardial viability using delayed contrast-enhanced CMR. Cardiovasc Magn Reson 7(2):481–485. https://doi.org/10.1081/jcmr-200053623
doi: 10.1081/jcmr-200053623
Flett AS, Hasleton J, Cook C, Hausenloy D, Quarta G, Ariti C, Muthurangu V, Moon JC (2011) Evaluation of techniques for the quantification of myocardial scar of differing etiology using cardiac magnetic resonance. JACC Cardiovasc Imaging 4(2):150–156. https://doi.org/10.1016/j.jcmg.2010.11.015
doi: 10.1016/j.jcmg.2010.11.015
pubmed: 21329899
Klem I, Heiberg E, Van Assche L, Parker MA, Kim HW, Grizzard JD, Arheden H, Kim RJ (2017) Sources of variability in quantification of cardiovascular magnetic resonance infarct size—reproducibility among three core laboratories. J Cardiovasc Magn Reson 19(1):62. https://doi.org/10.1186/s12968-017-0378-y
doi: 10.1186/s12968-017-0378-y
pubmed: 28800739
pmcid: 5553600
Mikami Y, Kolman L, Joncas SX, Stirrat J, Scholl D, Rajchl M, Lydell CP, Weeks SG, Howarth AG, White JA (2014) Accuracy and reproducibility of semi-automated late gadolinium enhancement quantification techniques in patients with hypertrophic cardiomyopathy. J Cardiovasc Magn Reson 16(1):85. https://doi.org/10.1186/s12968-014-0085-x
doi: 10.1186/s12968-014-0085-x
pubmed: 25315701
pmcid: 4189726
Ko SM, Hwang SH, Lee HJ (2019) Role of cardiac computed tomography in the diagnosis of left ventricular myocardial diseases. J Cardiovasc Imaging 27(2):73–92. https://doi.org/10.4250/jcvi.2019.27.e17
doi: 10.4250/jcvi.2019.27.e17
pubmed: 30993942
pmcid: 6470070
Scapicchio C, Gabelloni M, Barucci A, Cioni D, Saba L, Neri E (2021) A deep look into radiomics. Radiol Med 126(10):1296–1311. https://doi.org/10.1007/s11547-021-01389-x
doi: 10.1007/s11547-021-01389-x
pubmed: 34213702
pmcid: 8520512
Neri E, Coppola F, Miele V, Bibbolino C, Grassi R (2020) Artificial intelligence: who is responsible for the diagnosis? Radiol Med 125(6):517–521. https://doi.org/10.1007/s11547-020-01135-9
doi: 10.1007/s11547-020-01135-9
pubmed: 32006241
Coppola F, Faggioni L, Regge D, Giovagnoni A, Golfieri R, Bibbolino C, Miele V, Neri E, Grassi R (2021) Artificial intelligence: radiologists’ expectations and opinions gleaned from a nationwide online survey. Radiol Med 126(1):63–71. https://doi.org/10.1007/s11547-020-01205-y
doi: 10.1007/s11547-020-01205-y
pubmed: 32350797
Grassi R, Miele V, Giovagnoni A (2019) Artificial intelligence: a challenge for third millennium radiologist. Radiol Med 124(4):241–242. https://doi.org/10.1007/s11547-019-00990-5
doi: 10.1007/s11547-019-00990-5
pubmed: 30707375
Zabihollahy F, Rajan S, Ukwatta E (2020) Machine learning-based segmentation of left ventricular myocardial fibrosis from magnetic resonance imaging. Curr Cardiol Rep 22(8):65. https://doi.org/10.1007/s11886-020-01321-1
doi: 10.1007/s11886-020-01321-1
pubmed: 32562100
Carminati MC, Boniotti C, Fusini L, Andreini D, Pontone G, Pepi M, Caiani EG (2016) Comparison of image processing techniques for nonviable tissue quantification in late gadolinium enhancement cardiac magnetic resonance images. J Thorac Imaging 31(3):168–176. https://doi.org/10.1097/RTI.0000000000000206
doi: 10.1097/RTI.0000000000000206
pubmed: 27043426
Cerqueira MD, Weissman NJ, Dilsizian V, Jacobs AK, Kaul S, Laskey WK, Pennell DJ, Rumberger JA, Ryan T, Verani MS, American Heart Association Writing Group on Myocardial Segmentation and Registration for Cardiac Imaging (2002) Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association. Circulation 105(4):539–542. https://doi.org/10.1161/hc0402.102975
doi: 10.1161/hc0402.102975
pubmed: 11815441
Bulluck H, Hammond-Haley M, Weinmann S, Martinez-Macias R, Hausenloy DJ (2017) Myocardial infarct size by CMR in clinical cardioprotection studies: insights from randomized controlled trials. JACC Cardiovasc Imaging 10(3):230–240. https://doi.org/10.1016/j.jcmg.2017.01.008
doi: 10.1016/j.jcmg.2017.01.008
pubmed: 28279370
pmcid: 5348096
Basha TA, Akçakaya M, Liew C, Tsao CW, Delling FN, Addae G, Ngo L, Manning WJ, Nezafat R (2017) Clinical performance of high-resolution late gadolinium enhancement imaging with compressed sensing. J Magn Reson Imaging : JMRI 46(6):1829–1838. https://doi.org/10.1002/jmri.25695
doi: 10.1002/jmri.25695
pubmed: 28301075
Kariki O, Antoniou CK, Mavrogeni S, Gatzoulis KA (2020) Updating the risk stratification for sudden cardiac death in cardiomyopathies: the evolving role of cardiac magnetic resonance imaging. An approach for the electrophysiologist. Diagnostics 10(8):541. https://doi.org/10.3390/diagnostics10080541
doi: 10.3390/diagnostics10080541
pmcid: 7460122
Kholmovski EG, Morris AK, Chelu MG (2019) Cardiac MRI and fibrosis quantification. Card Electrophysiol Clin 11(3):537–549. https://doi.org/10.1016/j.ccep.2019.04.005
doi: 10.1016/j.ccep.2019.04.005
pubmed: 31400877
van der Velde N, Hassing HC, Bakker BJ, Wielopolski PA, Lebel RM, Janich MA, Kardys I, Budde R, Hirsch A (2021) Improvement of late gadolinium enhancement image quality using a deep learning-based reconstruction algorithm and its influence on myocardial scar quantification. Eur Radiol 31(6):3846–3855. https://doi.org/10.1007/s00330-020-07461-w
doi: 10.1007/s00330-020-07461-w
pubmed: 33219845
Fahmy AS, Rowin EJ, Chan RH, Manning WJ, Maron MS, Nezafat R (2021) Improved quantification of myocardium scar in late gadolinium enhancement images: deep learning based image fusion approach. J Magn Reson Imaging 54(1):303–312. https://doi.org/10.1002/jmri.27555
doi: 10.1002/jmri.27555
pubmed: 33599043
pmcid: 8359184
Aquaro GD, Grigoratos C, Bracco A, Proclemer A, Todiere G, Martini N, Habtemicael YG, Carerj S, Sinagra G, Di Bella G (2020) Late gadolinium enhancement-dispersion mapping: a new magnetic resonance imaging technique to assess prognosis in patients with hypertrophic cardiomyopathy and low-intermediate 5-year risk of sudden death. Circ Cardiovasc Imaging 13(6):e010489. https://doi.org/10.1161/CIRCIMAGING.120.010489
doi: 10.1161/CIRCIMAGING.120.010489
pubmed: 32539460
Kim RJ, Wu E, Rafael A, Chen EL, Parker MA, Simonetti O, Klocke FJ, Bonow RO, Judd RM (2000) The use of contrast-enhanced magnetic resonance imaging to identify reversible myocardial dysfunction. N Engl J Med 343(20):1445–1453. https://doi.org/10.1056/NEJM200011163432003
doi: 10.1056/NEJM200011163432003
pubmed: 11078769
Bondarenko O, Beek AM, Nijveldt R, McCann GP, van Dockum WG, Hofman MB, Twisk JW, Visser CA, van Rossum AC (2007) Functional outcome after revascularization in patients with chronic ischemic heart disease: a quantitative late gadolinium enhancement CMR study evaluating transmural scar extent, wall thickness and periprocedural necrosis. J Cardiovasc Magn Reson 9(5):815–821. https://doi.org/10.1080/10976640701547335
doi: 10.1080/10976640701547335
pubmed: 17891620
Guerrini L, Mazzocchi S, Giomi A, Milli M, Carpi R (2020) An operational approach to the execution of MR examinations in patients with CIED. Radiol Med 125(12):1311–1321. https://doi.org/10.1007/s11547-020-01206-x
doi: 10.1007/s11547-020-01206-x
pubmed: 32367321
Altabella L, Borrazzo C, Carnì M, Galea N, Francone M, Fiorelli A, Di Castro E, Catalano C, Carbone I (2017) A feasible and automatic free tool for T1 and ECV mapping. Phys Medica 33:47–55. https://doi.org/10.1016/j.ejmp.2016.12.002
doi: 10.1016/j.ejmp.2016.12.002